Numerical Evaluating the Permeability of Rocks Based on Correlation Dependence on Geometry Научная публикация
Конференция |
The International Conference on Computational Sciences and its Applications 03-06 июл. 2023 , Athens |
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Сборник | Computational Science and Its Applications – ICCSA 2023 Workshops
Athens, Greece, July 3–6, 2023, Proceedings Сборник, Springer. 2023. ISBN 9783031371103. |
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Журнал |
Lecture Notes in Computer Science
ISSN: 0302-9743 , E-ISSN: 1611-3349 |
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Вых. Данные | Год: 2023, Том: 14106, Страницы: 91-102 Страниц : 12 DOI: 10.1007/978-3-031-37111-0_7 | ||||||
Ключевые слова | Permeability · numerical estimation · porosity · correlation dependence · scaling · digital rock physics · CT-images | ||||||
Авторы |
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Организации |
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Информация о финансировании (2)
1 | Российский научный фонд | 21-71-20003 |
2 | Институт нефтегазовой геологии и геофизики им. А. А. Трофимука СО РАН | FWZZ-2022-0022 |
Реферат:
We present a resource-saving algorithm for numerical evaluation of the absolute permeability of a rock from the sample’s CT-images of huge size, which makes it possible to perform such an assessment using limited computing resources, in particular, personal computers. It is based on a decomposition of the 3D sample image into small representative sub-samples, for which the absolute permeability is estimated based on the numerical solution of the Stokes equation in a static formulation, followed by a creation of the functional dependencies between the permeability and open porosity. After that these dependencies can be extended to the entire original sample or to the full-sized core sample.
Библиографическая ссылка:
Lisitsa V.
, Khachkova T.
, Sotnikov O.
, Islamov I.
, Ganiev D.
Numerical Evaluating the Permeability of Rocks Based on Correlation Dependence on Geometry
В сборнике Computational Science and Its Applications – ICCSA 2023 Workshops Athens, Greece, July 3–6, 2023, Proceedings. – Springer., 2023. – Т.Part III. – C.91-102. – ISBN 9783031371103. DOI: 10.1007/978-3-031-37111-0_7 Scopus OpenAlex
Numerical Evaluating the Permeability of Rocks Based on Correlation Dependence on Geometry
В сборнике Computational Science and Its Applications – ICCSA 2023 Workshops Athens, Greece, July 3–6, 2023, Proceedings. – Springer., 2023. – Т.Part III. – C.91-102. – ISBN 9783031371103. DOI: 10.1007/978-3-031-37111-0_7 Scopus OpenAlex
Даты:
Опубликована в печати: | 29 июн. 2023 г. |
Опубликована online: | 29 июн. 2023 г. |
Идентификаторы БД:
Scopus: | 2-s2.0-85165101664 |
OpenAlex: | W4382366420 |
Цитирование в БД:
Пока нет цитирований